Sunny talks to Dr Brad Aimone from Sandia National Laboratories who works with the world’s biggest neuromorphic platforms. He explains how this allows him to think deeply about what such platforms are good for and how we might be able to get to a theory of neuromorphic computational power. After the interview, discussion follows with Giulia and Ralph.
Articles and Papers
- Potential role for adult neurogenesis in the encoding of time in new memories
- Neural algorithms and computing beyond Moore’s Law
- Neuromorphic scaling advantages for energy-efficient random walk computations
- The brain’s unique take on algorithms
- Neuromorphic computing: A theoretical framework for time, space, and energy scaling
From the discussion
- Perceiving the brain like never before
- Involvement of transposable elements in neurogenesis
- Computational modeling of adult neurogenesis
- Catastrophic interference in connectionist networks: the sequential learning problem
- SpiNNaker2: a large-scale neuromorphic system for event-based and asynchronous machine learning
- Deep learning is provably robust to symmetric label noise
- The capacity of the Hopfield associative memory
Episode Credits
Producer/Writer: Sunny Bains
Co-hosts: Sunny Bains and Giulia D’Angelo
Editor: Rose Gotto
Audio Production: Taylor Marvin, Coupe Studios Music and Sound Design
Music: 3 of Diamonds by Matt Harris
For EETimes.com
This episode is produced in conjunction with EETimes. Podcast reproduced with permission.
